About the Book

Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of?

This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns—author, retriever, extractor, agent, and experimental—to effectively implement GenAI systems within an organization. The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications bridges critical knowledge gaps for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy GenAI.

In today’s rapidly evolving world, staying ahead of the competition requires a deep understanding of these five implementation patterns and the potential benefits and risks associated with GenAI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI’s transformative impact on various industries. Empower your organization with a competitive edge in today’s marketplace using The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it’s not the tech that’s tiny, just the book!™

In Praise Of

Ryan Mac Ban, President, UiPath Americas

The Generative AI Practitioner’s Guide by Arup Das and David Sweenor] is an essential resource for leaders aiming to leverage AI for impactful automation, providing a clear understanding of foundational concepts and real-world applications across industries. The patterns-based approaches allow business leaders with a foundational framework on how to apply this technology to solve their business problems and provide quantifiable business returns. This TinyTechGuide simplifies complex AI topics for business professionals and emphasizes ethical considerations, preparing customers to navigate AI complexities effectively and responsibly.

Manuel Nuñez, Associate Dean, Graduate Programs, Villanova School of Business and Professor of Practice, Management, and Operations 

The TinyTechGuide The Generative AI Practitioner’s Guide by Arup Das and David Sweenor is an invaluable resource for business students. It offers a comprehensive guide—from foundational concepts to practical applications—to GenAI. The book not only covers technical fundamentals but also emphasizes building business cases, calculating ROI, and understanding ethical considerations and prepares students to manage AI-driven projects responsibly.

Tom Davenport, President’s Distinguished Professor of Information Technology, Babson College; Senior Advisor to Deloitte Analytics; and a Fellow at the MIT Initiative on the Digital EconomyIf you’re a knowledge worker or content creator, you only need to understand generative AI if you want to keep your job. For AI leaders, the five patterns to guide enterprise app development is the key. This book will inform you about technology with a minimal amount of AI hype. For a TinyTechGuide, it’s surprisingly thorough!